Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces that are prone to change as a result of microbial activity. The alterations need to be measured experimentally and interpreted on the scales of interest by means of numerical simulations. It is also required to improve the efficiency of corresponding complex numerical simulation methods.
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Python Source Code - 7.6 KB - MD5: 1892dec4d9bfc2c470554eb171460986
Code
Central command-line interface for generating publication figures. Provides three sub-commands — time (concentration vs. time), da (Damköhler-number curves), and sherwood (Sherwood-number curves) — each producing the corresponding plot type.
JSON - 9.6 KB - MD5: 13dfb23902c69b5a0ad99487ecae4b16
Code
JSON configuration file used by the core analysis routines to define plot settings and case parameters.
Python Source Code - 44.5 KB - MD5: 32167c52e0aba826c5331ca016a4f563
Code
Supporting Python module implementing specific plotting functions and visualization logic used by the core plot.py entry point.
Adobe PDF - 1.7 MB - MD5: 49403f2b4b8454a1c27903178306bc77
Visualization of plug-flow concentration contours for 2 mm and 6 mm aperture cases at 10 min residence time (1.0 bar CO₂, 25 °C), generated by plot_plug_flow_contours.py. Corresponds to Figure D3 in the associated publication.
PNG Image - 80.9 KB - MD5: 710f5539ca42007eb19868e330b95447
Visualization of plug-flow concentration contours for 2 mm and 6 mm aperture cases at 10 min residence time (1.0 bar CO₂, 25 °C), generated by plot_plug_flow_contours.py. Corresponds to Figure D3 in the associated publication.
Adobe PDF - 16.8 KB - MD5: 810a02cf455965e3b478cfe883f0776a
PDF figure generated by `plot.py time` displaying pre-experimental numerical trends for varying apertures at 10 min residence time and 0.02 bar CO₂ partial pressure. Not shown in associated publication.
Adobe PDF - 16.7 KB - MD5: 58bfc28f54c050b62700378a1f4e5441
PDF figure generated by `plot.py time` displaying pre-experimental numerical trends for varying apertures at 10 min residence time and 0.5 bar CO₂ partial pressure. Shown in figure 2 (b) in associated publication.
Adobe PDF - 16.6 KB - MD5: cd387cb4753be19f4e5bf9044537675b
PDF figure generated by `plot.py time` displaying pre-experimental numerical trends for varying apertures at 10 min residence time and 1.0 bar CO₂ partial pressure. Shown in figure 2 (a) in associated publication.
Tabular Data - 1.0 KB - 6 Variables, 12 Observations - UNF:6:UMYu2gXzWsTKcOa09zX3RQ==
Analysis results generated by investigate_recirculation.py examining flow recirculation characteristics. This file contains calculated Richardson numbers (published in Table D2) and Rayleigh numbers (not included in the publication).
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